記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.amc.2016.11.036

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1209/0295-5075/116/38005

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1088/1742-5468/2016/09/093501

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2016.04.023

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1103/PhysRevE.94.022114

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2016.06.002

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.plrev.2015.04.033

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.chaos.2015.04.018

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.amc.2015.03.018

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.chaos.2015.03.021

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1142/S0129183115500722

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1103/PhysRevE.91.042106

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.chaos.2015.02.025

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1088/1742-5468/2015/01/P01033

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://iopscience.iop.org/1742-5468/2014/12/P12024/

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://iopscience.iop.org/1742-5468/2014/11/P11010/

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1088/1742-5468/2014/11/P11027

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.chaos.2014.07.004

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.4236/jamp.2014.27076

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://link.aps.org/doi/10.1103/PhysRevE.90.022105

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/ 10.1088/1742-5468/2014/07/P07019

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： doi:10.1088/1742-5468/2014/05/P05003

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1103/PhysRevE.89.012106

その他リンク： http://dx.doi.org/10.1103/PhysRevE.89.012106

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://link.aps.org/doi/10.1103/PhysRevE.88.062149

その他リンク： http://link.aps.org/doi/10.1103/PhysRevE.88.062149

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.chaos.2013.05.007

その他リンク： http://dx.doi.org/10.1016/j.chaos.2013.05.007

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1371/journal.pone.0076942

その他リンク： http://dx.doi.org/10.1371/journal.pone.0076942

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.chaos.2013.07.00

その他リンク： http://dx.doi.org/10.1016/j.chaos.2013.07.00

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1103/PhysRevE.88.042145

その他リンク： http://dx.doi.org/10.1103/PhysRevE.88.042145

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1371/journal.pone.0071961

その他リンク： http://dx.doi.org/10.1371/journal.pone.0071961

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2013.02.004

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://link.aps.org/doi/10.1103/PhysRevE.87.062136

その他リンク： http://link.aps.org/doi/10.1103/PhysRevE.87.062136

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://link.aps.org/doi/10.1103/PhysRevE.86.031141

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.biosystems.2011.10.001

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.jweia.2012.02.008

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1142/S0129183111016749

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s10546-010-9551-7.

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.biosystems.2010.10.009

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2010.10.027

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.biosystems.2010.10.006

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2010.08.032

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2010.08.005

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.biosystems.2010.07.017

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2010.03.020

その他リンク： http://dx.doi.org/10.1016/j.physa.2010.03.020

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： http://dx.doi.org/10.1016/j.physa.2010.01.033

その他リンク： http://dx.doi.org/10.1016/j.physa.2010.01.033

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：その他   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：その他   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.biosystems.2007.12.001

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1103/PhysRevE.76.041130

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1002/hyp.6681

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.biosystems.2006.12.008

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http:dx.doi.org/10.1016/j.buildenv.2006.06.034

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.jtbi.2007.03.033

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.biosystems.2007.03.001

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.enbuild.2007.02.032

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.biosystems.2006.07.005

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）  

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.buildenv.2004.08.010

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.enbuild.2004.02.002

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：日本語   掲載種別：研究論文（その他学術会議資料等）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s10546-005-2078-7

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：日本語   掲載種別：研究論文（学術雑誌）  

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.physd.2004.09.016

記述言語：英語   掲載種別：研究論文（学術雑誌）  

その他リンク： http://dx.doi.org/10.1016/j.biosystems.2007.05.002

出版者・発行元：Applied Mathematics and Computation  

In this paper, we construct a nonlinear evolutionary game model to analyze the cooperation mechanisms of the population based on a nonlinear relationship among environment and strategies. In the model, replicator dynamics and aspiration dynamics are used to explore the evolutionary outcomes of collective decision, respectively. The results suggest that the environment tends to become progressively more affluent as the number of cooperators increases, if there is a smaller intensity of environmental destruction of defectors. Interestingly, the enriched environments may attract more defectors. Hence, the population requires a higher level of vigilance against plentiful environments in response to the emergence of defectors. As opposed to replicator dynamics, aspiration dynamics can avoid the persistent oscillatory loops due to the level of aspiration. Further, we investigate the effect of complexity between the population strategy and the environment on the evolutionary outcomes. It is found that higher level of complexity can drive the environment closer to a state of affluence, but the population's strategy structure will not be modified. These insights into the relationship between environment and strategies further our understanding of the evolutionary mechanism of population and society.

DOI： 10.1016/j.amc.2024.128990

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出版者・発行元：Nonlinear Dynamics  

In this study, a traffic flow model, the so-called Taillight Adapting (TA) traffic model, is developed considering the driver's activities impact following the taillight effect of the preceding vehicle, which is switched on and off based on the vehicle's accelerations and decelerations. To quantify a driver's sensitivity to the velocity gap, we introduced the concept of the new driver's sensitivity function, which has twofold formulations. The first formulation follows the HDDS model (Hossain and Tanimoto in Sci Rep 12:1–4, 2022), which presumes sensitivity depends on a headway distance. The second formulation presumes that the sensitivity depends on a velocity gap, which the taillight might inform of a preceding vehicle. We have calibrated the neutralizing proficiency of a traffic flow field for the HDDS and proposed the TA model by utilizing the linear stability theory. Finally, a series of numerical simulations of the improved TA model and conventional FVD model have been carried out to investigate how the traffic flow field for the TA model behaves differently from the conventional FVD model.

DOI： 10.1007/s11071-024-09964-3

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出版者・発行元：Chaos, Solitons and Fractals  

The evolution of cooperation in asymmetric populations has recently garnered widespread attention. In this study, we propose a new asymmetric model to explore the impact of asymmetric behavior on cooperation evolution. Our model assumes that weak players are always forced to cooperate when interacting with strong players, while strong players always receive the temptation payoff. When encountering peers from the same category, players engage in a prisoner's dilemma game, differing only in the intensity of the dilemma between population categories. Results suggest that in scenarios where traditional network reciprocity can support cooperation, asymmetric interactions between strong and weak players undermine this reciprocity and jeopardize the maintenance of cooperation. Conversely, in scenarios where traditional network reciprocity fails to support cooperation, asymmetric interactions enable strong players to leverage weak cooperative clusters to establish cooperation. However, as the prevalence of asymmetric interactions increases, it becomes detrimental to cooperation within the weak player subgroups, thus undermining overall cooperation. These findings contribute to a deeper understanding of how asymmetry impacts cooperation.

DOI： 10.1016/j.chaos.2024.115399

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記述言語：英語   出版者・発行元：Infectious Disease Modelling  

In this research, we introduce a comprehensive epidemiological model that accounts for multiple strains of an infectious disease and two distinct vaccination options. Vaccination stands out as the most effective means to prevent and manage infectious diseases. However, when there are various vaccines available, each with its costs and effectiveness, the decision-making process for individuals becomes paramount. Furthermore, the factor of waning immunity following vaccination also plays a significant role in influencing these choices. To understand how individuals make decisions in the context of multiple strains and waning immunity, we employ a behavioral model, allowing an epidemiological model to be coupled with the dynamics of a decision-making process. Individuals base their choice of vaccination on factors such as the total number of infected individuals and the cost-effectiveness of the vaccine. Our findings indicate that as waning immunity increases, people tend to prioritize vaccines with higher costs and greater efficacy. Moreover, when more contagious strains are present, the equilibrium in vaccine adoption is reached more rapidly. Finally, we delve into the social dilemma inherent in our model by quantifying the social efficiency deficit (SED) under various parameter combinations.

DOI： 10.1016/j.idm.2024.03.004

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PubMed

出版者・発行元：Physica A: Statistical Mechanics and its Applications  

A brand-new traffic model is introduced to precisely simulate the individual movement of vehicles, departing from the traditional macroscopic perspective (Eulerian scope or fluid dynamics concept) to adopt a microscopic approach (Lagrangian scope). This model is built on the first principle of Newton's kinetic equation, explicitly incorporating nonlinear relations to represent human responses to a physical stimulus (observed information), such as the velocity gap between one's own vehicle and a certain targeted one or the gap to a preceding vehicle, unlike the conventional car-following concept. The model posits that a driver's recognition occurs intermittently rather than continuously, following specific probabilistic distributions of which the formulation is physically justified. Overall, the model can be described as a spatiotemporally continuous formulation unlike cellular automaton (CA) traffic models, crucial for capturing traffic dynamics at the micro and macro levels. The model is validated using a real traffic-flow dataset from a highway, and the results of the conventional CA traffic model are compared with those of the present one” along with a note for authorial verification. Animated simulations confirm that the present model can reproduce realistic flow dynamics characterized by smoother acceleration and deceleration compared to the conventional CA traffic model. The complete simulation source code for replicating the model is made publicly available.

DOI： 10.1016/j.physa.2024.129930

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出版者・発行元：Physica A: Statistical Mechanics and its Applications  

In this study, a novel traffic model, namely the push-pull model (PPM), has been developed considering not only forward-looking effects but also how focal vehicles are influenced by their following vehicle. The developed model represents a traffic flow field whose flow is significantly different from the conventional full velocity difference model in the congestion region but is analogous to the actual traffic flow system. We focused on linear analysis, nonlinear analysis, and numerical simulation to validate our model. Linear stability analysis determines the stability condition, delineating stable and unstable regions of traffic flow. The phase diagram of stability analysis demonstrates that the PPM has a crucial positive impact on traffic flow stabilization. In the case of nonlinearity, a kink-antikink soliton solution is generated from the modified Korteweg-de Vries equation, which is derived from the push-pull effect model to interpret traffic congestion. Furthermore, to check the validity of the theoretical results of this model, a numerical simulation has been conducted, demonstrating significant suppression of traffic congestion by considering push and pull effects.

DOI： 10.1016/j.physa.2024.129816

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記述言語：英語   出版者・発行元：Scientific Reports  

In the face of infectious disease outbreaks, the collective behavior of a society can has a profound impact on the course of the epidemic. This study investigates the instantaneous social dilemma presented by individuals' attitudes toward vaccine behavior and its influence on social distancing as a critical component in disease control strategies. The research employs a multifaceted approach, combining modeling techniques and simulation to comprehensively assess the dynamics between social distancing attitudes and vaccine uptake during disease outbreaks. With respect to modeling, we introduce a new vaccination game (VG) where, unlike conventional VG models, a 2-player and 2-strategy payoff structure is aptly embedded in the individual behavior dynamics. Individuals' willingness to adhere to social distancing measures, such as mask-wearing and physical distancing, is strongly associated with their inclination to receive vaccines. The study reveals that a positive attitude towards social distancing tends to align with a higher likelihood of vaccine acceptance, ultimately contributing to more effective disease control. As the COVID-19 pandemic has demonstrated, swift and coordinated public health measures are essential to curbing the spread of infectious diseases. This study underscores the urgency of addressing the instantaneous social dilemma posed by individuals' attitudes. By understanding the intricate relationship between these factors, policymakers, and healthcare professionals can develop tailored strategies to promote both social distancing compliance and vaccine acceptance, thereby enhancing our ability to control and mitigate the impact of disease outbreaks in the future.

DOI： 10.1038/s41598-024-64143-z

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記述言語：英語   出版者・発行元：PNAS Nexus  

Addressing collective issues in social development requires a high level of social cohesion, characterized by cooperation and close social connections. However, social cohesion is challenged by selfish, greedy individuals. With the advancement of artificial intelligence (AI), the dynamics of human–machine hybrid interactions introduce new complexities in fostering social cohesion. This study explores the impact of simple bots on social cohesion from the perspective of human–machine hybrid populations within network. By investigating collective self-organizing movement during migration, results indicate that cooperative bots can promote cooperation, facilitate individual aggregation, and thereby enhance social cohesion. The random exploration movement of bots can break the frozen state of greedy population, help to separate defectors in cooperative clusters, and promote the establishment of cooperative clusters. However, the presence of defective bots can weaken social cohesion, underscoring the importance of carefully designing bot behavior. Our research reveals the potential of bots in guiding social self-organization and provides insights for enhancing social cohesion in the era of human–machine interaction within social networks.

DOI： 10.1093/pnasnexus/pgae223

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記述言語：英語   出版者・発行元：Transdisciplinary Research and Education Center for Green Technologies, Kyushu University  

DOI： 10.5109/7183305

CiNii Research

出版者・発行元：International Journal of Modern Physics C  

This study explored whether a policy with maximum velocity limitation prior to each jam point in a traffic flow system can mitigate jam situations in a highway. To quantify this question, a new cellular automata traffic model based on the Revised S-NFS model was established. We perused two specific scenarios: a jam naturally brought by a high traffic density, and one brought by a lane-closed section placed as an explicit bottleneck. The result of multi-agent simulation (MAS) reveals that such maximum velocity limitation policy can certainly mitigate jam situations when each jam is naturally bought up not by a bottleneck, as proved by several statistics, and cannot improve the traffic flux.

DOI： 10.1142/S012918312450075X

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出版者・発行元：Neurocomputing  

Cooperation in human interactions often involves voluntary participation rather than obligatory requirements. This paper investigates the impact of voluntary exit strategies on cooperation within scale-free networks, employing spatial prisoner's dilemma games as the framework. We analyze three distinct exit strategies: leader priority exit, fringe priority exit, and random exit, across varying dilemma strengths. Our findings reveal that in scenarios of weak dilemma strength, leader priority exit significantly diminishes cooperation, particularly when only a small subset of players is granted exit rights. In contrast, under strong dilemma strength conditions, both leader priority and random exits serve to unexpectedly bolster cooperation. This enhancement is primarily facilitated by high-degree nodes opting out, thereby enabling low-degree nodes to establish stable cooperation. Furthermore, our study underscores the pivotal role of network structure. In assortative networks, random exit emerges as the most effective strategy in promoting cooperation. On the other hand, disassortative networks exhibit a substantial increase in cooperation levels when employing leader priority exit. These results highlight the intricate interplay between exit strategies, dilemma strength, and network topology, offering critical insights for promoting cooperation in varied social contexts.

DOI： 10.1016/j.neucom.2024.127566

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記述言語：英語   出版者・発行元：Chaos  

Evolutionary game theory, encompassing discrete, continuous, and mixed strategies, is pivotal for understanding cooperation dynamics. Discrete strategies involve deterministic actions with a fixed probability of one, whereas continuous strategies employ intermediate probabilities to convey the extent of cooperation and emphasize expected payoffs. Mixed strategies, though akin to continuous ones, calculate immediate payoffs based on the action chosen at a given moment within intermediate probabilities. Although previous research has highlighted the distinct impacts of these strategic approaches on fostering cooperation, the reasons behind the differing levels of cooperation among these approaches have remained somewhat unclear. This study explores how these strategic approaches influence cooperation in the context of the prisoner’s dilemma game, particularly in networked populations with varying clustering coefficients. Our research goes beyond existing studies by revealing that the differences in cooperation levels between these strategic approaches are not confined to finite populations; they also depend on the clustering coefficients of these populations. In populations with nonzero clustering coefficients, we observed varying degrees of stable cooperation for each strategic approach across multiple simulations, with mixed strategies showing the most variability, followed by continuous and discrete strategies. However, this variability in cooperation evolution decreased in populations with a clustering coefficient of zero, narrowing the differences in cooperation levels among the strategies. These findings suggest that in more realistic settings, the robustness of cooperation systems may be compromised, as the evolution of cooperation through mixed and continuous strategies introduces a degree of unpredictability.

DOI： 10.1063/5.0205330

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出版者・発行元：Applied Mathematics and Computation  

Human behaviors are strongly influenced by social norms. This work couples injunctive social norms with evolutionary games. Injunctive norms refer to behaviors which individuals should conform to and thereby entail social pressure to adhere to a particular action. Here we investigate impact of such social norms on both pairwise and multi-player games. It is shown that injunctive norms can enforce the system to either extreme, meaning that they give rise to the possibility of bi-stability (two stable equilibrium states) in evolutionary games. We derive the condition for such bi-stability in the mean-field limit. While investigating pairwise games with social norms, we observe that —besides other possibilities—Prisoner's dilemma (PD), snow-drift (SD), and Trivial (TR) games may experience the bi-stability like the stag-hunt (SH) game. Interestingly, SD game with social norms exhibits four possible asymptotic outcomes: all-cooperation (AllC), all-defection (AllD), either AllC or AllD (bi-stable), and coexistence. However, its multi-player variant does not manifest a unique coexistence equilibrium. Moreover, it demonstrates another bi-stable equilibrium, comprising either coexistence or AllC, besides other outcomes observed in the two-player case. Conversely, PD and its multi-player variant, i.e., public goods game with injunctive norms show identical evolutionary outcomes (AllD or bi-stable).

DOI： 10.1016/j.amc.2023.128463

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記述言語：英語   出版者・発行元：Journal of the Royal Society Interface  

Prosocial punishment, an important factor to stabilize cooperation in social dilemma games, often faces challenges like second-order free-riders—who cooperate but avoid punishing to save costs—and antisocial punishers, who defect and retaliate against cooperators. Addressing these challenges, our study introduces prosocial punishment bots that consistently cooperate and punish free-riders. Our findings reveal that these bots significantly promote the emergence of prosocial punishment among normal players due to their ‘sticky effect’—an unwavering commitment to cooperation and punishment that magnetically attracts their opponents to emulate this strategy. Additionally, we observe that the prevalence of prosocial punishment is greatly enhanced when normal players exhibit a tendency to follow a ‘copying the majority’ strategy, or when bots are strategically placed in high-degree nodes within scale-free networks. Conversely, bots designed for defection or antisocial punishment diminish overall cooperation levels. This stark contrast underscores the critical role of strategic bot design in enhancing cooperative behaviours in human/AI interactions. Our findings open new avenues in evolutionary game theory, demonstrating the potential of human–machine collaboration in solving the conundrum of punishment.

DOI： 10.1098/rsif.2024.0019

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記述言語：英語   出版者・発行元：Transdisciplinary Research and Education Center for Green Technologies, Kyushu University  

DOI： 10.5109/7172183

CiNii Research

出版者・発行元：Computational Economics  

The evolution of cooperation in social interactions remains a central topic in interdisciplinary research, often drawing debates on altruistic versus self-regarding preferences. Moving beyond these debates, this study investigates how autonomous agents (AAs) with a range of social preferences interact with human players in one-shot, anonymous prisoner’s dilemma games. We explore whether AAs, programmed with preferences that vary from self-interest to other-regarding behavior, can foster increased cooperation among humans. To do this, we have refined the traditional Bush–Mosteller reinforcement learning algorithm to integrate these diverse social preferences, thereby shaping the AAs’ strategic behavior. Our results indicate that even a minority presence of AAs, programmed with a moderate aspiration level, can significantly elevate cooperation levels among human participants in well-mixed situations. However, the structure of the population is a critical factor: we observe increased cooperation in well-mixed populations when imitation strength is weak, whereas networked populations maintain enhanced cooperation irrespective of the strength of imitation. Interestingly, the degree to which AAs promote cooperation is modulated by their social preferences. AAs with pro-social preferences, which balance their own payoffs with those of their opponents, foster the highest levels of cooperation. Conversely, AAs with either extremely altruistic or purely individualistic preferences tend to hinder cooperative dynamics. This research provides valuable insights into the potential of advanced AAs to steer social dilemmas toward more cooperative outcomes. It presents a computational perspective for exploring the complex interplay between social preferences and cooperation, potentially guiding the development of AAs to improve cooperative efforts in human societies.

DOI： 10.1007/s10614-024-10559-8

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出版者・発行元：Physical Review Research  

The critical mass effect is a prevailing topic in the study of complex systems. Recent research indicates that a committed minority of cooperators, unwavering in their beliefs and consistently maintaining cooperation, can effectively foster widespread cooperation in social dilemma games. However, achieving a critical mass of cooperation in the one-shot prisoner's dilemma requires stricter conditions. The underlying mechanism behind this effect remains unclear, particularly in the context of repeated interactions. This work aims to investigate the influence of a committed minority on cooperation in the iterated prisoner's dilemma game, a widely studied model of repeated interactions between individuals confronting a social dilemma. In contrast to previous findings, we identify tipping points for both well-mixed and structured populations. Our findings demonstrate that a committed minority of unconditional cooperators can induce full cooperation under weak imitation conditions. Conversely, a committed minority of conditional cooperators, who employ extortion strategy, can promote widespread cooperation under strong imitation conditions. These results are consistent across various network topologies and imitation rules, suggesting that critical mass effects may be a universal principle in social dilemma games. Moreover, we discovered that an excessive density of committed extortioners can hinder cooperation in structured populations. This research advances our understanding of the role of committed minorities in shaping social behavior and provides valuable insights into cooperation dynamics.

DOI： 10.1103/PhysRevResearch.6.013062

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記述言語：英語   出版者・発行元：Heliyon  

This work addressed the effect of heterogeneous vehicle sizes on traffic flow fields by introducing a movement control protocol. Considering a continuum traffic model, a new equilibrium velocity function that is dependent on traffic density was introduced to account for the effect of vehicle size. The established model showed a quantitative comparison between the Optimal Velocity and Full Velocity Difference models. A neutral stability test was carried out to evaluate the model's capability of neutralizing flow fields. The density wave behavior near a critical point was portrayed by deducing the Korteweg–de Vries–Burgers equation through a nonlinear analysis. A series of numerical simulations, the outcomes of which agreed well with the analytical results, was performed to observe the overall flow field scenario.

DOI： 10.1016/j.heliyon.2024.e23975

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出版者・発行元：Lecture Notes in Electrical Engineering  

Skin friction along with pressure and temperature is an important parameter in fluid mechanics. This study presents the results of skin-friction patterns on axisymmetric boattail surfaces by a sub-grid measurement technique. The skin-friction results indicate that detailed flow fields on the surface can be obtained when numerical parameters are selected appropriately. The effect of freestream velocity on the skin-friction streamlines and skin-friction magnitude was also discussed in detail.

DOI： 10.1007/978-981-97-3998-1_16

Scopus

出版者・発行元：Lecture Notes in Electrical Engineering  

This study focuses on the mixing layer of two free streams under incompressible conditions. The convective Mach number was changed between 0.05 to 0.3. The detached eddy simulation with turbulent model k-ε was used for the calculation. The results of numerical data were validated with experimental data with the same convective Mach number of 0.185. The results indicated that the numerical scheme provided sufficient accurate data. The averaged flow fields, turbulent kinetic energy, and unsteady behavior were analyzed and discussed insight in this study.

DOI： 10.1007/978-981-97-3998-1_117

Scopus

記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：PLoS ONE  

The COVID-19 pandemic has remarkably heightened concerns regarding the prediction of communicable disease spread. This study introduces an innovative agent-based modeling approach. In this model, the quantification of human-to-human transmission aligns with the dynamic variations in the viral load within an individual, termed “within-host” and adheres to the susceptible–infected–recovered (SIR) process, referred to as “between-host.” Variations in the viral load over time affect the infectivity between individual agents. This model diverges from the traditional SIR model, which employs a constant transmission probability, by incorporating a dynamic, time-dependent transmission probability influenced by the viral load in a host agent. The proposed model retains the time-integrated transmission probability characteristic of the conventional SIR model. As observed in this model, the overall epidemic size remains consistent with the predictions of the standard SIR model. Nonetheless, compared to predictions based on the classical SIR process, notable differences existed in the peak number of the infected individuals and the timing of this peak. These nontrivial differences are induced by the direct correlation between the time-evolving transmission probability and the viral load within a host agent. The developed model can inform targeted intervention strategies and public health policies by providing detailed insights into disease spread dynamics, crucial for effectively managing epidemics.

DOI： 10.1371/journal.pone.0295954

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記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：Physics Open  

This study explored whether the introduction of connected automated vehicles (CAVs) into human-driven vehicles (HVs) can mitigate the social dilemma caused by defective HVs that seek to overtake other vehicles by making frequent lane changes. In this regard, a cellular automata traffic model based on the revised S–NFS model, dealing with a mixed flow field composed of CAVs and HVs with multiple lanes, was established. We perused precise game theoretical analysis on the basis of the result obtained from traffic flow analysis through multi-agent simulation (MAS). As a result, the social efficiency deficit, quantifying the extent of the social dilemma behind such a specific traffic flow system, elucidates that the introduction of CAVs does not eliminate the social dilemma caused by defective HVs unless CAVs account for the vast majority of the mixed flow.

DOI： 10.1016/j.physo.2023.100176

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記述言語：英語   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/7160863

Scopus

CiNii Research

記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

We present an evolutionary game model combining subordinate elements from several viewpoints to address whether a resource-storing mechanism promotes a society where the wealthy engage in or refrain from conflict. The model is based on the pairwise game, which incorporates the accumulation of payoffs over time and introduces the concept of participation probability based on wealthiness. Our study encompasses four distinct game classes: Prisoner's Dilemma, Trivial, Stag Hunt, and Chicken. By incorporating these diverse social dilemma structures, we strive to comprehensively understand the dynamics within different game scenarios. Additionally, we broaden the scope of our analysis by considering two network types: a regular lattice network and a Barabasi-Albert scale-free (BA-SF) graph. Through simulation results, we have discovered that the commonly held belief or human philosophical wisdom that “the wealthy do not fight” leads to the emergence of a cooperative society, depending on the intensity of the dilemma. In contrast, our findings strongly suggest that the prevailing notion of “the wealthy do fight” fosters an imbalanced exploitation-based society where defectors who exploit the poor cooperators thrive. Further analysis shows variations in beliefs and dynamics between cooperators and defectors, highlighting the emergence of social dilemmas and the impact of payoff storage. Our result reported here proves that the proposed model based on a minimal spatial game setting by 2-player & 2-strategy game just added several subordinate components can reproduce rich, complex scenarios likely observed in a real human society.

DOI： 10.1016/j.chaos.2023.114035

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記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：Computers and Fluids  

This study compared various numerical schemes that have been reported with the assumption that artificial compressibility aids in the realization of explicit fluid dynamics simulations for a two-dimensional cavity flow. Four artificial compressible schemes, the artificial compressible method (ACM), entropically dumped ACM (EDACM), explicit method with virtual particles (EMV), were compared with a conventional incompressible scheme (simplified marker and cell, SMAC). The purpose of the comparisons is clarifying the validity of EMV in which the artificial speed of sound can be theoretically determined. In addition, the effect of the artificial speed of sound was investigated for ACM and compared with EMV. Moreover, three conditions of Reynolds numbers, Re=100, 1000, and 5000, were employed. Under steady-state conditions, the velocity and pressure distributions were found to be consistent among the EMV, ACM, EDACM, and SMAC. Further, the comparisons of the horizontal and vertical profiles indicated that these artificial compressible schemes reproduced the velocities using the incompressible scheme at three Reynolds numbers. In contrast, the temporal development of the velocity fields in the three artificial compressible schemes clearly exhibited small fluctuations in the velocity and pressure around the overall trends determined by SMAC. Further, the power spectral densities demonstrated that such fluctuations were due to compression-wave propagations with the artificial speed of sound. Although no clear differences were observed among EMV, ACM, and EDACM at these Reynolds numbers, EMV was determined to be advantageous in terms of theoretically determining the unique value of the artificial speed of sound once the lattice-grid system was fixed, whereas ACM and EDACM require sensitivity studies to select suitable values.

DOI： 10.1016/j.compfluid.2023.105985

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出版者・発行元：EPL  

Committed individuals, who feature steadfast dedication to advocating strong beliefs, values, and preferences, have garnered much attention across statistical physics, social science, and computer science. This survey delves into the profound impact of committed individuals on social dynamics that emerge from coordination games and social dilemma games. Through separate examinations of their influence on coordination, including social conventions and color coordination games, and social dilemma games, including one-shot settings, repeated settings, and vaccination games, this survey reveals the significant role committed individuals play in shaping social dynamics. Their contributions range from accelerating or overturning social conventions to addressing cooperation dilemmas and expediting solutions for color coordination and vaccination issues. Furthermore, the survey outlines three promising directions for future research: conducting human behavior experiments for empirical validation, leveraging advanced large language models as proxies for committed individuals in complex scenarios, and addressing the potential negative impacts of committed individuals.

DOI： 10.1209/0295-5075/acfb34

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Infectious Disease Modelling  

COVID-19 vaccination behavior using an SEIRM/V

DOI： 10.1016/j.idm.2023.06.001

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Nonlinear Dynamics  

In this study, a new continuum traffic model is established in consideration of the diverse reactivity effect that emerges from driving attention and the vehicle's inertia. To instigate this diverse reactivity effect, two new functions are introduced, namely a driver's sensitivity function relying on the flow field's instantaneous density that follows a reverse tendency of optimal velocity function and an inertial equilibrium velocity function assuming the vehicle's inertia coefficient. Comparative analysis is performed using the proposed model and the conventional full velocity difference model. To ascertain the flow field neutralization capability of this model, a neutral stability analysis and the attendant neutral stability condition are derived. The complex behavior of the model near the critical point is investigated via nonlinear analysis, and the wavy solution of the Korteweg-de Vries-Burgers equation is obtained. To verify the analytical solution, a numerical simulation is performed, with the results demonstrating excellent agreement with the obtained theoretical results.

DOI： 10.1007/s11071-023-08734-x

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記述言語：英語   出版者・発行元：Vaccines  

Infectious diseases pose significant public health risks, necessitating effective control strategies. One such strategy is implementing a voluntary vaccination policy, which grants individuals the autonomy to make their own decisions regarding vaccination. However, exploring different approaches to optimize disease control outcomes is imperative, and involves assessing their associated costs and benefits. This study analyzes the advantages and disadvantages of employing a mixed-strategy approach under a voluntary vaccination policy in infectious disease control. We examine the potential benefits of such an approach by utilizing a vaccination game model that incorporates cost and benefit factors, where lower costs and higher benefits lead to reduced infection rates. Here, we introduce a mixed-strategy framework that combines individual-based risk assessment (IB-RA) and society-based risk assessment (SB-RA) strategies. A novel dynamical equation is proposed that captures the decision-making process of individuals as they choose their strategy based on personal or communal considerations. In addition, we explore the implications of the mixed-strategy approach within the context of social dilemmas. We examine deviations from expected behavior and the concept of social efficiency deficit (SED) by allowing for the evolution of vaccine strategy preferences alongside risk perception. By comprehensively evaluating the financial implications and societal advantages associated with the mixed-strategy approach, decision-makers can allocate resources and implement measures to combat infectious diseases within the framework of a voluntary vaccination policy.

DOI： 10.3390/vaccines11091476

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記述言語：英語   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/7148431

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CiNii Research

出版者・発行元：Alexandria Engineering Journal  

In this study, an epidemiological model with the provaccination and antivaccination susceptible groups is proposed, and the social dilemma of the model is analyzed. During a pandemic, such as the current COVID-19, many individuals get confused to choose the option of adopting a provaccination or antivaccination strategy based on the number of infected people and the payoff of being infected. In the proposed model, people can obtain immunity either through vaccination or by getting infected with the disease which is known as natural immunity. In addition, increasing the waning immunity influences the choice of adopting the provaccination or antivaccination strategy. We used the behavior model to analyze the choice of the two strategies, where any individual can choose a strategy based on the number of infected individuals from each group. Moreover, individuals who are already infected can choose their strategy based on the payoff of their disease cost or vaccination cost. Our results show that, at Nash equilibrium, individuals in both groups behave the same. Further, from our numerical results, increasing the number of vaccinations can reduce the social dilemma whereas an increase in the waning immunity rate increases the social dilemma.

DOI： 10.1016/j.aej.2023.05.091

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Journal of the Royal Society Interface  

Cooperation plays a crucial role in both nature and human society, and the conundrum of cooperation attracts the attention from interdisciplinary research. In this study, we investigated the evolution of cooperation in optional Prisoner's Dilemma games by introducing simple bots. We focused on one-shot and anonymous games, where the bots could be programmed to always cooperate, always defect, never participate or choose each action with equal probability. Our results show that cooperative bots facilitate the emergence of cooperation among ordinary players in both well-mixed populations and a regular lattice under weak imitation scenarios. Introducing loner bots has no impact on the emergence of cooperation in well-mixed populations, but it facilitates the dominance of cooperation in regular lattices under strong imitation scenarios. However, too many loner bots on a regular lattice inhibit the spread of cooperation and can eventually result in a breakdown of cooperation. Our findings emphasize the significance of bot design in promoting cooperation and offer useful insights for encouraging cooperation in real-world scenarios.

DOI： 10.1098/rsif.2023.0301

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：ELSEVIER  

In this study, an epidemiological model with the provaccination and antivaccination sus-ceptible groups is proposed, and the social dilemma of the model is analyzed. During a pandemic, such as the current COVID-19, many individuals get confused to choose the option of adopting a provaccination or antivaccination strategy based on the number of infected people and the payoff of being infected. In the proposed model, people can obtain immunity either through vaccination or by getting infected with the disease which is known as natural immunity. In addition, increasing the waning immunity influences the choice of adopting the provaccination or antivaccination strategy. We used the behavior model to analyze the choice of the two strategies, where any individual can choose a strategy based on the number of infected individuals from each group. Moreover, individ-uals who are already infected can choose their strategy based on the payoff of their disease cost or vaccination cost. Our results show that, at Nash equilibrium, individuals in both groups behave the same. Further, from our numerical results, increasing the number of vaccinations can reduce the social dilemma whereas an increase in the waning immunity rate increases the social dilemma. & COPY; 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).

DOI： 10.1016/j.aej.2023.05.0911110-0168

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

A new SEIRS-based ODE (Ordinary Differential Equation) model is built, where asymptomatic and symptomatic infectious compartments, hospitalized state and immune state are additionally introduced, which is dovetailed with a behavior model that defines the vaccination rate as time-variable. We also apply Social Efficiency Deficit; SED, to quantitatively identify whether or not social dilemma taking place behind the model dynamics. Numerical results prove that, depending on the fraction of asymptomatic infected individuals and the discount ratio of infected force for asymptomatic state compared with that for symptomatic one, whether or not social dilemma appearing is different, which is also substantially affected by the vaccination cost and the immunity waning rate. The behavior model tends to incur a slight social dilemma brought by wasting vaccination even in the region of disease free, identified by R0 < 1. Meanwhile, a relatively strong social dilemma is indicated in the parameter region where the behavior model shows less amount of vaccinated population while the social optimal state needs much more vaccinated for complete remission of disease.

DOI： 10.1016/j.chaos.2023.113426

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記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

Building on safety and broad acceptance of healthcare policy, we agree that human behavior is substantial because its success depends on an individual's contribution, ethnic, economic, and social status. We present three surveys testing this account for imminent hypothetical COVID-19 vaccines in Bangladesh, Indonesia, and Malaysia to study to find the acceptance and willingness-to-pay (WTP) for a vaccine in a social context. We used the contingent valuation (CV) method to estimate WTP in Bangladesh, Malaysia, and Indonesia. The statistical ANOVA estimation mode was supposed to measure the critical factors of vaccine acceptance and WTP for three vaccines and compare the associated characteristics with conventional epidemic vaccination models. The studies investigated how an individual's vaccination behavior depends on disease severity, geographical proximity, and socioeconomic similarity. Our results demonstrate that increasing vaccine uptake has a significant impact on vaccine efficacy and disease severity, while self-reported vaccine preferences were associated with factors such as lack of education and economic conditions.

DOI： 10.5109/6792807

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Heliyon  

This study aims to develop a traffic model for heterogeneous vehicle movement, which introduces the vehicle's heterogeneity by considering the internal mass effect. We explore the behavioral characteristics of the flow field generated by the proposed model and provide a comparative analysis of the conventional model. A linear stability condition is deduced to showcase the model's capacity to neutralize flow. Nonlinear analysis is employed to derive the modified Korteweg-de Vries (mKdV) equation and its corresponding analytical solution, enabling the observation of traffic flow behavior in proximity to the neutral stability condition. A numerical simulation is then conducted, considering cyclic boundary conditions. The results indicate that the mass effect tends to absorb traffic jams provided no time delay is imposed.

DOI： 10.1016/j.heliyon.2023.e16731

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos  

Over the past decade, the coupled spread of information and epidemic on multiplex networks has become an active and interesting topic. Recently, it has been shown that stationary and pairwise interactions have limitations in describing inter-individual interactions , and thus, the introduction of higher-order representation is significant. To this end, we present a new two-layer activity-driven network epidemic model, which considers the partial mapping relationship among nodes across two layers and simultaneously introduces simplicial complexes into one layer, to investigate the effect of 2-simplex and inter-layer mapping rate on epidemic transmission. In this model, the top network, called the virtual information layer, characterizes information dissemination in online social networks, where information can be diffused through simplicial complexes and/or pairwise interactions. The bottom network, named as the physical contact layer, denotes the spread of infectious diseases in real-world social networks. It is noteworthy that the correspondence among nodes between two networks is not one-to-one but partial mapping. Then, a theoretical analysis using the microscopic Markov chain (MMC) method is performed to obtain the outbreak threshold of epidemics, and extensive Monte Carlo (MC) simulations are also carried out to validate the theoretical predictions. It is obviously shown that MMC method can be used to estimate the epidemic threshold; meanwhile, the inclusion of simplicial complexes in the virtual layer or introductory partial mapping relationship between layers can inhibit the spread of epidemics. Current results are conducive to understanding the coupling behaviors between epidemics and disease-related information.

DOI： 10.1063/5.0151881

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記述言語：英語   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/6792805

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CiNii Research

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

In this work, we extend the spatial prisoner's dilemma game by introducing three competing strategies: unconditional cooperators (C); super cooperators (SC); and speculative defectors (SD). Unconditional cooperators cooperate with their opponent no matter what the opponent does. In contrast, SC first cooperate with their opponent, then reward or punish them based on whether the opponent cooperated or defected. SD cooperate with SC based on certain prior information level, but otherwise defect as default. We investigated the evolutionary dynamics of the extended prisoner's dilemma game in structured populations. Through extensive Monte Carlo simulations, we showed that increasing the information level q generally facilitates the evolution of SC, but destroys them if the cost of SC is high. Counterintuitively, SD who cooperate with SC can form an active layer around them, which eliminates the free riding chance on SC for unconditional cooperators. Our results indicate that SD may not always impede cooperators.

DOI： 10.1016/j.chaos.2023.113391

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Nonlinearity  

Imitation and aspiration learning rules are frequently observed in humans and animals. The former is an act of copying other's action, whereas the latter is characterized by the self-evaluation. Here we study the coexistence of these learning mechanisms in structured populations. Both rules have been combined focusing on two different scenarios: (I) adoption of either update rule with a certain probability, and (II) grouping the entire population according to the update rules. We present two pair approximation models, illustrating both scenarios, which yield a nice agreement-under weak selection-with that of agent-based simulations. For weak selection and large population size, we find that the condition for cooperation to dominate defection is similar in both heterogeneous and homogeneous update rules. We examine several variants of the mixed model such as time-evolving aspirations alongside strategies and the coevolution of strategies and update rules. In the former case, our simulation reveals that Prisoner's dilemma and, in some cases, Stag-hunt experience overall less aspiration levels compared to other games such as Chicken or Trivial. The coevolution of strategies and update rules demonstrates a better cooperation, in contrast to the fixed update rule case, exhibiting the possibility of asymptotic coexistence of both learning mechanisms.

DOI： 10.1088/1361-6544/acc500

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記述言語：日本語   出版者・発行元：日本地図学会  

DOI： 10.11212/jjca.61.1_39

CiNii Research

記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

This study investigates a standard vaccination game presuming the repeated-season framework, in which we mutually merge the dynamics of disease spread, which obeys the SIR process, and human decision-making as regards whether or not to get vaccinated at the beginning of each season with reference to the evolutionary game theory. We herein presume the Barab ' asi-Albert scale-free (BA-SF) graph as an underlying network. Accordingly, we explore whether or not an additive noise to the transmission rate brings an advantageous stochastic resonance effect for confining a disease's spread. The results show that with a higher vaccination cost and/or a lower vaccine efficacy, the stochastic noise has no gap in vaccination coverage (VC) with the default without noise case, but brings a smaller final epidemic size (FES). In contrast, at a lower vaccination cost and a higher vaccine efficacy, the additive stochastic noise brings a smaller VC that consequently results in a larger FES than the default without noise case. This phenomenon is completely different from our previously reported bolstered enhancement effect of network reciprocity, in which each element of a payoff matrix is exposed to stochastic noise.

DOI： 10.1016/j.chaos.2022.113029

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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023  

With the rapid spread of renewable energy, the utilizing residential air conditioners (AC) for demand response (DR) is gaining importance. As resource aggregators seek to manage the flexibility offered by a large number of AC units, accurately estimating the DR potential of ACs is essential for successful bidding in the balancing market. This study introduced a data-driven method that leverages measured electricity data from residential ACs to evaluate the DR potential and estimate the room temperature without the complex model of thermal conduction. The proposed method comprises three components: estimating the AC turn-on/off states, calculating time-dependent parameters for room temperature estimation, and determining the room temperature and AC electricity consumption after DR implementation. A case study was conducted using data from 479 dwellings in Osaka, Japan, to assess the downward DR potential during the cooling season. Results indicate a median DR potential ranging from 9.2% to 18.7% of total AC electricity consumption. This study provides valuable insights into leveraging residential ACs as flexible resources for demand response, empowering resource aggregators to make informed decisions in a balanced market.

DOI： 10.1109/ISGTAsia54891.2023.10372682

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Scientific Reports  

The emergence of antimicrobial resistance (AMR) caused by the excess use of antimicrobials has come to be recognized as a global threat to public health. There is a 'tragedy of the commons' type social dilemma behind this excess use of antimicrobials, which should be recognized by all stakeholders. To address this global threat, we thus surveyed eight countries/areas to determine whether people recognize this dilemma and showed that although more than half of the population pays little, if any, attention to it, almost 20&#37; recognize this social dilemma, and 15-30&#37; of those have a positive attitude toward solving that dilemma. We suspect that increasing individual awareness of this social dilemma contributes to decreasing the frequency of AMR emergencies.

DOI： 10.1038/s41598-022-25632-1

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Electronics and Communications in Japan  

Residential appliances remotely controlled by IoT for demand response has attracted much attention for effective peak demand reduction of the uncertainty of consumers’ behaviors. To promote the technology development of such appliances, estimation of the potential for peak demand reduction according to the type of appliances is strongly needed. With this background, the authors conducted a data analysis of demand curves of not only the entire household but also the branches acquired at 496 dwellings in Osaka. Based on this analysis, the potential of peak reduction of aggregated demand of various groups with different dwelling size were quantified for major five appliances, namely air conditioners, microwave ovens, refrigerators, washing machines, and dish washers.

DOI： 10.1002/ecj.12379

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Applied Mathematics and Computation  

During a pandemic event like the present COVID-19, self-quarantine, mask-wearing, hy-giene maintenance, isolation, forced quarantine, and social distancing are the most effec-tive nonpharmaceutical measures to control the epidemic when the vaccination and proper treatments are absent. In this study, we proposed an epidemiological model based on the SEIR dynamics along with the two interventions defined as self-quarantine and forced quarantine by human behavior dynamics. We consider a disease spreading through a pop-ulation where some people can choose the self-quarantine option of paying some costs and be safer than the remaining ones. The remaining ones act normally and send to forced quarantine by the government if they get infected and symptomatic. The government pays the forced quarantine costs for individuals, and the government has a budget limit to treat the infected ones. Each intervention derived from the so-called behavior model has a dy-namical equation that accounts for a proper balance between the costs for each case, the total budget, and the risk of infection. We show that the infection peak cannot be reduced if the authority does not enforce a proactive (quantified by a higher sensitivity parameter) intervention. While comparing the impact of both self-and forced quarantine provisions, our results demonstrate that the latter is more influential to reduce the disease prevalence and the social efficiency deficit (a gap between social optimum payoff and equilibrium payoff).(c) 2022 Elsevier Inc. All rights reserved.

DOI： 10.1016/j.amc.2022.127365

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Japan Architectural Review  

In this study, the velocity field in a naturally ventilated building within an urban-like array was explored using large-eddy simulations. Reduced-scale building models were used to examine the impacts of the geometric conditions in the surrounding buildings and cross-ventilating windows on the flow statistics and instantaneous velocity fields in the sheltered building. The instantaneous velocity components averaged in the opening area were calculated for each condition of the building arrays and openings. The results indicate that the surrounding urban geometry significantly affects the turbulent opening velocities. Additionally, the three-dimensional instantaneous velocity distributions within the target building clearly demonstrate considerable differences under the different building and opening conditions. Such differences also affect the mean, maximum, and minimum wind speeds within the indoor regions. Moreover, the distributions of the two-point correlation coefficient (defined by the velocities normal to the windows at the center of the windward opening and inside the building) were compared for each condition. The strong correlations near the two openings indicate that the instantaneous velocity generated by the surrounding buildings is an important factor in determining the statistical and instantaneous features of indoor ventilating airflows.

DOI： 10.1002/2475-8876.12312

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos  

The way of information diffusion among individuals can be quite complicated, and it is not only limited to one type of communication, but also impacted by multiple channels. Meanwhile, it is easier for an agent to accept an idea once the proportion of their friends who take it goes beyond a specific threshold. Furthermore, in social networks, some higher-order structures, such as simplicial complexes and hypergraph, can describe more abundant and realistic phenomena. Therefore, based on the classical multiplex network model coupling the infectious disease with its relevant information, we propose a novel epidemic model, in which the lower layer represents the physical contact network depicting the epidemic dissemination, while the upper layer stands for the online social network picturing the diffusion of information. In particular, the upper layer is generated by random simplicial complexes, among which the herd-like threshold model is adopted to characterize the information diffusion, and the unaware-aware-unaware model is also considered simultaneously. Using the microscopic Markov chain approach, we analyze the epidemic threshold of the proposed epidemic model and further check the results with numerous Monte Carlo simulations. It is discovered that the threshold model based on the random simplicial complexes network may still cause abrupt transitions on the epidemic threshold. It is also found that simplicial complexes may greatly influence the epidemic size at a steady state. Published under an exclusive license by AIP Publishing.

DOI： 10.1063/5.0125873

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Sustainability (Switzerland)  

Understanding occupants’ behaviours (OBs) of heating and cooling use in dwellings is essential for effectively promoting occupants’ behavioural change for energy saving and achieving efficient demand response operation. Thus, intensive research has been conducted on data collection, statistical analysis, and modelling of OBs. However, the majority of smart metres currently deployed worldwide monitor only the total household consumption rather than appliance-level load. Therefore, estimating the turn-on/off state of specific home appliances from the measured household total electricity referred to as non-intrusive load monitoring (NILM), has gained research attention. However, the current NILM methods overlook the specific features of inverter-controlled heat pumps (IHPs) used for space heating/cooling; thus, they are unsuitable for detecting OBs. This study presents a rule-based method for identifying the occupants’ intended operation states of IHPs based on a statistical analysis of load data monitored at 423 dwellings. This method detects the state of IHPs by subtracting the power of sequential-operation appliances other than IHPs from the total household power. Three time-series characteristics, including the durations of power-on/off states and power differences between power-off/on states, were used for this purpose. The performance of the proposed method was validated, indicating an F-score of 0.834.

DOI： 10.3390/su142214863

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記述言語：英語   出版者・発行元：九州大学大学院総合理工学府  

The emergence of a new strain during a pandemic, like the present COVID-19, is a serious concern to the healthcare system. The most effective strategy to control this pandemic is vaccination. Many studies suggest that vaccine efficacy against the new strain may reduce. Additionally, the new strain’s late arrival has a significant impact on the disease dynamics and vaccine coverage. Focusing on these issues, this study presents a two-strain epidemic model along with two vaccination provisions based on human behavior dynamics, in which the new strain appears with a time delay. Individuals can commit vaccination before and after being infected with strain 1 and both vaccinated and non-vaccinated individuals can be infected with strain 2. Our findings suggested that delaying the second strain increases the overall vaccination coverage and reduces the peak size of the infected individuals.

DOI： 10.5109/5909084

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記述言語：英語   出版者・発行元：九州大学大学院総合理工学府  

Car-following model and its variants are proposed to reproduce real traffic flow phenomena, but they ignore that different vehicles have different inertiasm, which is out of touch with reality. In this paper, a heterogeneous vehicular inertia (HVI) model is proposed by considering the vehicle's inertia effect based on the full velocity difference (FVD) model on a single-lane road. The linear stability theory is used to determine the stability condition for this model with time delay. The results demonstrate that the higher inertia effect and lower time delay effect would strengthen the stability of the proposed model.

DOI： 10.5109/5909091

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Applied Mathematics and Computation  

COVID-19 has emphasized that a precise prediction of a disease spreading is one of the most pressing and crucial issues from a social standpoint. Although an ordinary differential equation (ODE) approach has been well established, stochastic spreading features might be hard to capture accurately. Perhaps, the most important factors adding such stochasticity are the effect of the underlying networks indicating physical contacts among individuals. The multi-agent simulation (MAS) approach works effectively to quantify the stochasticity. We systematically investigate the stochastic features of epidemic spreading on homogeneous and heterogeneous networks. The study quantitatively elucidates that a strong microscopic locality observed in one- and two-dimensional regular graphs, such as ring and lattice, leads to wide stochastic deviations in the final epidemic size (FES). The ensemble average of FES observed in this case shows substantial discrepancies with the results of ODE based mean-field approach. Unlike the regular graphs, results on heterogeneous networks, such as Erdos-Renyi random or scale-free, show less stochastic variations in FES. Also, the ensemble average of FES in heterogeneous networks seems closer to that of the mean-field result. Although the use of spatial structure is common in epidemic modeling, such fundamental results have not been well-recognized in literature. The stochastic outcomes brought by our MAS approach may lead to some implications when the authority designs social provisions to mitigate a pandemic of un-experienced infectious disease like COVID-19. (C) 2022 Elsevier Inc. All rights reserved.

DOI： 10.1016/j.amc.2022.127328

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Scientific Reports  

A new microscopic traffic flow model is established based on heterogeneous driver's sensitivity; in this new model, the driver's sensitivity is defined as being dependent on the headway distances to the preceding vehicle, similar to Bando's optimal velocity function. We introduce the formulation of this cognitive driver's sensitivity utilizing a modified form of Bando's optimal velocity function. A simple methodology, which is used for improving Bando's optimal velocity function, has been implemented for developing the cognitive driver's sensitivity function, which establishes a correlation between the flow field's density and human drivers' responses. The model is highly advanced for introducing a human-driven traffic flow field considering the driver's mental behavioral activity. Using the linear stability condition, we elucidate a neutral stability condition. A series of numerical simulations indicates how the present model describes dynamics that differ from the conventional model, which assumes a constant driver's sensitivity.

DOI： 10.1038/s41598-022-22412-9

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Japan Architectural Review  

Occupants' behaviors (OBs) toward air conditioning (AC) usage in residential buildings have a strong influence on diverse time patterns of load profiles; thus, various stochastic OB modeling has been proposed. However, the validity of such models has not been fully assessed with metered data, particularly for modeling AC switching-off actions. In this study, the AC operation behavior of 20 dwellings in Japan was observed during the summer. The occurrence of AC-use events identified from the measured data was analyzed in relation to the time slot of an event, thermal conditions, and frequency of AC usage in each dwelling. The results exhibited a difference between switch-on and switch-off actions; the former is primarily dominated by indoor temperature because of thermal adaptation behavior, while the latter is more habitual. Based on this analysis, this study proposed a revised algorithm to synthesize AC operation schedules, which expresses the switch-off action as the probability of the duration of an AC-use event rather than a state transition probability function. The proposed algorithm can be incorporated into dynamic building energy simulations. The validity of the revised algorithm was also demonstrated through comparison with the measured data.

DOI： 10.1002/2475-8876.12293

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記述言語：日本語   掲載種別：研究論文（学術雑誌）   出版者・発行元：一般社団法人 電気学会  

Residential appliances remotely controlled by IoT for demand response has attracted much attention for effective peak demand reduction of the uncertainty of consumers' behaviors. To promote the technology development of such appliances, estimation of the potential for peak demand reduction according to the type of appliances is strongly needed. With this background the authors conducted a data analysis of demand curves of not only entire household but also branches acquired at 496 dwellings in Osaka. Based on this analysis, the potential of peak reduction of aggregated demand of various groups with different dwelling size were quantified for major 5 appliances, namely air conditioners, microwave ovens, refrigerators, washing machines and dish washers.

DOI： 10.1541/ieejeiss.142.909

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

Motivated by an interdisciplinary question of whether a resource-storing mechanism favors "the wealthy do fight" or "the wealthy do not fight," we establish a new model based on spatial prisoner's dilemma (SPD) game where a time-accumulating payoff is allowed, and the probability of game participation depending on wealthiness is introduced. Although the model is based on a universal framework, presuming SPDs as a template, the conclusion drawn from the model is interdisciplinary rich. Our simulation results reveal that the common sense (or say, human's philosophical wisdom) of "the wealthy do not fight" helps to emerge a fairly cooperative society depending on the dilemma strength. By contrast, remarkably, it suggests that the common sense of "the wealthy do fight" begets a skewed exploitation society where defectors who exploit poor cooperators prosper.PACS numbers Theory and modeling; computer simulation, 87.15.Aa; Dynamics of evolution, 87.23.Kg.(c) 2022 Elsevier Ltd. All rights reserved.

DOI： 10.1016/j.chaos.2022.112207

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

COVID-19 has shown that quarantine (or self-isolation) may be the only available tool against an unknown infectious disease if neither an effective vaccine nor anti-viral medication is available. Motivated by the fact that a considerable number of people were not compliant with the request for self-quarantine made by public authorities, this study used a multi-agent simulation model, whose results were validated by theory work, which highlights how and to what extent such an anti-social behavior hampers the confinement of a disease. Our framework quantifies two important scenarios: in one scenario a certain number of individuals totally ignore quarantine, whereas in the second scenario a larger number of individuals partially ignore the imposed policy. Our results reveal that the latter scenario can be more hazardous even if the total amount of social deficit of activity-measured by the total number of severed links in a physical network-would be same as the former scenario has, of which quantitative extent is dependent on the fraction of asymptomatic infected cases and the level of quarantine intensity the government imposing. Our findings have significance not only to epidemiology but also to research in the broader field of network science. PACS numbers: Theory and modeling; computer simulation, 87.15.Aa; Dynamics of evolution, 87.23.Kg. (c) 2022 Elsevier Ltd. All rights reserved.

DOI： 10.1016/j.chaos.2022.112178

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記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

With the rapid prosperity of the global economy and industry, as the energy demand, many factors influence power-producing sectors, including government incentives, customer demand, production cost, eco-friendly, and investors investment. To analyze the cost-benefit-subsidy in power generator system under the evolutionary game setting, we considered two asymmetric game structures by coupling the photovoltaic (PV) power system and coal-fired (CF) power system. To model the asymmetric games for PV and CF, Game-1 considers respective cost and benefit, whereas, Game-2 deliberates cost, benefit, and government subsidy. We present both analytical and numerical approaches within this framework.

DOI： 10.5109/4793672

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Scientific Reports  

Vaccination, if available, is the best preventive measure against infectious diseases. It is, however, needed to prudently design vaccination strategies to successfully mitigate the disease spreading, especially in a time when vaccine scarcity is inevitable. Here we investigate a vaccination strategy on a scale-free network where susceptible individuals, who have social connections with infected people, are being detected and given vaccination before having any physical contact with the infected one. Nevertheless, detecting susceptible (also infected ones) may not be perfect due to the lack of information. Also, vaccines do not confer perfect immunity in reality. We incorporate these pragmatic hindrances in our analysis. We find that if vaccines are highly efficacious, and the detecting error is low, then it is possible to confine the disease spreading-by administering a less amount of vaccination-within a short period. In a situation where tracing susceptible seems difficult, then expanding the range for vaccination targets can be socially advantageous only if vaccines are effective enough. Our analysis further reveals that a more frequent screening for vaccination can reduce the effect of detecting errors. In the end, we present a link percolation-based analytic method to approximate the results of our simulation.

DOI： 10.1038/s41598-022-12039-1

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

In the wake of COVID-19, mask-wearing practice and self-quarantine is thought to be the most effective means of controlling disease spread. The current study develops an epidemiological model based on the SEIR process that takes into account dynamic human behavior toward those two preventive measures. In terms of quantifying the effect of wearing a mask, our model distinguishes itself by accounting for the effect of self-protection as well as the effect of reducing a potential risk to other individuals in different formulations. Each of the two measures de-rived from the so-called behavior model has a dynamical equation that takes into account the delicate balance between the cost of wearing a mask/self-quarantine and the risk of infection. The dynamical system as a whole contains a social dilemma structure because of whether to commit to preventing measures or seek the possibility of infection-free without paying anything. The numerical result was delivered along the social efficiency deficit, quantifying the extent to which Nash equilibrium has been improved to a social optimal state. PACS numbers Theory and modeling; computer simulation, 87.15.Aa; Dynamics of evolution, 87.23.Kg (c) 2022 Elsevier Ltd. All rights reserved.

DOI： 10.1016/j.chaos.2022.112030

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Journal of Building Engineering  

In recent years, a bottom-up approach based on building-energy simulations coupled with stochastic modelling of occupant behaviours has been intensively developed to properly estimate the effect of diverse and stochastic occupant behaviours on energy loads, mainly for developing smart building-energy-management systems and the promotion of renewable energy sources. Considering this background, the objective of this study is to elucidate the modelling of the state transitional probability of occupants’ heat pump (HP) use embedded in most bottom-up approaches based on statistical analysis of the 2-year electricity data of 586 dwellings. The analysis results clearly suggested that the relationship between daily hours of HP use and the daily mean outdoor air temperature has seasonal differences, in which frequency of HP use in early summer and early winter is lower than that in late summer and late winter under the same daily mean outdoor air temperature conditions. In addition, the authors presented statistical models of daily HP use hours with an explanatory variable of outdoor temperature for a lapse of 10 days to model the seasonal influence, and showed better performance compared to the model expressed by daily mean outdoor temperature. Furthermore, the authors revealed that such a seasonal change in behaviour is attributed to the state transitional probability of cooling use as a function of indoor thermal conditions based on a numerical simulation of the bottom-up approach. Finally, the authors proposed a revised model with the state transitional probability considering seasonal behaviour change, and the estimation results of household cooling use are consistent with the measured data.

DOI： 10.1016/j.jobe.2022.104067

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Scientific Reports  

<title>Abstract</title>We present the pair approximation models for susceptible–infected–recovered (SIR) epidemic dynamics in a sparse network based on a regular network. Two processes are considered, namely, a Markovian process with a constant recovery rate and a non-Markovian process with a fixed recovery time. We derive the implicit analytical expression for the final epidemic size and explicitly show the epidemic threshold in both Markovian and non-Markovian processes. As the connection rate decreases from the original network connection, the epidemic threshold in which epidemic phase transits from disease-free to endemic increases, and the final epidemic size decreases. Additionally, for comparison with sparse and heterogeneous networks, the pair approximation models were applied to a heterogeneous network with a degree distribution. The obtained phase diagram reveals that, upon increasing the degree of the original random regular networks and decreasing the effective connections by introducing void nodes accordingly, the final epidemic size of the sparse network is close to that of the random network with average degree of 4. Thus, introducing the void nodes in the network leads to more heterogeneous network and reduces the final epidemic size.

DOI： 10.1038/s41598-022-07985-9

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その他リンク： https://www.nature.com/articles/s41598-022-07985-9

記述言語：英語   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/4774209

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記述言語：日本語   掲載種別：研究論文（学術雑誌）   出版者・発行元：日本建築学会  

To reproduce homogeneous flow fields above urban-like turbulent boundary layers in computational fluid dynamics (CFD), numerous CFDs with a limited numerical domain employ periodic boundary conditions in both lateral directions with artificial momentum provision to maintain airflows. Although such artificial momentum sources are clearly different from the momentum provision in windtunnel experiments, the effects of these numerical conditions on the airflow in the boundary layer are not well studied. In this paper, therefore, we investigate how the momentum provision differentiates the vertical Reynolds stress and turbulent kinetic energy profiles using large-eddy simulations of airflows over cubical block arrays.

DOI： 10.3130/aije.87.145

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Chaos, Solitons and Fractals  

A new cellular automata traffic model based on Revised S-NFS model is established to consider a mixed flow system in which the maximal velocity of the agents is distributed, as is the case in a real traf-fic flow fields composed of compact vehicles, trucks, and buses. These vehicles are assigned on of two different strategies: cooperator (C), who remains in his original lane, and defector (D), who undertakes lane-changing to maximize his own payoff, i.e., average velocity. In a systematic series of multi-agent simulations, we quantitatively compare flow characteristics in the default system (where maximal ve -locity is constant across all agents), mixed traffic flow systems (which permit a distribution of maximal velocities), and correlated-mixed traffic flows, in which an agent with a higher maximal velocity tends to have a D strategy whereas one with a lower maximal velocity tends to have a C strategy. We discuss what kind of game class is underlying in each traffic flow system. Furthermore, we quantitatively study the social efficiency deficit, an index of dilemma extent, for each of the flow systems. (c) 2022 Elsevier Ltd. All rights reserved.

DOI： 10.1016/j.chaos.2022.111790

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記述言語：日本語   掲載種別：研究論文（学術雑誌）   出版者・発行元：日本建築学会  

DOI： 10.3130/aije.87.19

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Physica A: Statistical Mechanics and its Applications  

In this study, we propose an information-sharing traffic flow model by considering multiple preceding cars and system time delay effect to reproduce a more likely flow field given the dissemination of intelligent transportation systems with wireless communication. The flow field would be robustly stable and efficient if the information on each vehicle's dynamics could be shared without time delay. However, a realistic situation inevitably entails some time delay, resulting from mechanical and control systems. The proposed model is validated by the neutral stability condition through linear stability theory, thus confirming that the proposed model substantially increases the stability of a traffic flow field compared with the conventional full velocity difference model (optimal velocity model). The modified Korteweg-de Vries equation is derived and analyzed for nonlinear analysis. A numerical simulation is also conducted to justify the proposed model. (C) 2021 Elsevier B.V. All rights reserved.

DOI： 10.1016/j.physa.2021.126437

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s11071-021-06894-2

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.physa.2021.126230

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.biosystems.2021.104532

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.heliyon.2021.e08185

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1103/PhysRevE.104.044314

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jcp.2021.110524

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2021.0240

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2021.110682

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1038/s41598-021-92094-2

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.buildenv.2021.107811

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2021.110918

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2020.125767

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1080/21645515.2020.1796424

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2020.125624

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2020.110603

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2020.110584

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2020.0769

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2020.110531

記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/6622876

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2020.110379

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2020.110399

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2020.109997

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1103/PhysRevE.102.032120

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rsos.201095

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2020.109861

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1038/s41598-020-72971-y

記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/4842514

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rsos.200891

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2020.0327

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rsos.200943

記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/4793625

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2019.124889

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2019.124889

記述言語：その他   掲載種別：研究論文（学術雑誌）  

The aim of this study is to verify whether a human can detect the social dilemma class and its strength for four various games: Prisoner’s dilemma, Trivial, Chicken, and Stag-Hunt by using a web-based structural cross-sectional survey. We considered respondent’s cooperative and defective behavior by designing multiple sets of 2 × 2 games for two classes in terms of game opponents: whether he is an intimate friend or an unknown person in the questionnaire. In total, 375 respondents participated in this survey. We found that Prisoner’s dilemma and Trivial game are recognized easily by the respondents, but they are not aware of the dilemma strength and difference of game opponent’s attribute whether the opponent is a close or unknown person.

DOI： 10.5109/2740936

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1088/1742-5468/ab75ea

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1088/1742-5468/ab74c6

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.109548

記述言語：英語   掲載種別：研究論文（学術雑誌）  

The aim of this study is to verify whether a human can detect the social dilemma class and its strength for four various games: Prisoner’s dilemma, Trivial, Chicken, and Stag-Hunt by using a web-based structural cross-sectional survey. We considered respondent’s cooperative and defective behavior by designing multiple sets of 2 × 2 games for two classes in terms of game opponents: whether he is an intimate friend or an unknown person in the questionnaire. In total, 375 respondents participated in this survey. We found that Prisoner’s dilemma and Trivial game are recognized easily by the respondents, but they are not aware of the dilemma strength and difference of game opponent’s attribute whether the opponent is a close or unknown person.

DOI： 10.5109/2740936

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.109548

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1088/1742-5468/ab75ea

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1088/1742-5468/ab74c6

記述言語：その他   掲載種別：研究論文（学術雑誌）   出版者・発行元：九州大学グリーンテクノロジー研究教育センター  

DOI： 10.5109/6781026

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記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2019.110059

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2019.110059

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.applthermaleng.2019.114514

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.applthermaleng.2019.114514

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2019.0484

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1103/PhysRevE.100.062402

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2019.0608

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.5109/2547344

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.5109/2547344

リポジトリ公開URL： http://hdl.handle.net/2324/4055213

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1103/PhysRevE.100.062402

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2019.0608

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1098/rspa.2019.0484

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2019.05.034

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2019.05.034

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.cnsns.2019.04.007

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.5109/2349293

記述言語：英語   掲載種別：研究論文（学術雑誌）  

The promptness with which individuals respond to information has an important effect on the spread of epidemics. To study this effect, we establish a two-layer SIR/V epidemic model that incorporates the effects of information buzz and information costs in the framework of a vaccination game. Previous studies on this issue have generally assumed that only unaware people can become aware, and the relative vaccination cost is used to update their strategies for avoiding infection. Firstly, we introduce the idea that aware people can also become unaware because of a wicked rumor about a beneficial practice. Secondly, the relative cost of information is modeled for individual update strategies in a novel way of framing a game by introducing a two-strategy and 2 (information state A/UA) by 2(healthy/infected) state game, referred to as a two-under-two game. In this framework, susceptible, infected, and vaccinated individuals are divided into two states as unaware and aware, and recovered individuals are assumed to be aware, for an unbounded and well-mixed population. Information about wearing masks or taking other protection against diseases spreads locally for a season, and this information has a significant tendency to reduce the extent of contagious disease that persists through each generation of the model. Mathematical analysis shows that funds spent on awareness can reduce the vaccination cost and improve the epidemic threshold under certain conditions.

DOI： 10.1016/j.cnsns.2019.04.007

記述言語：英語   掲載種別：研究論文（学術雑誌）  

リポジトリ公開URL： http://hdl.handle.net/2324/4055213

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.05.031

記述言語：その他   掲載種別：研究論文（その他学術会議資料等）  

DOI： 10.1051/e3sconf/201911104057

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.buildenv.2019.106170

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.05.031

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1051/e3sconf/201911104057

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.buildenv.2019.106170

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.04.010

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s11282-007-0065-z

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.cnsns.2019.01.020

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.cnsns.2019.01.020

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s11282-007-0065-z

リポジトリ公開URL： http://hdl.handle.net/2324/4055213

記述言語：英語   掲載種別：研究論文（学術雑誌）  

To avoid the infection, the epidemic outburst plays a significant role that encourages people to take vaccination and induce behavioral changes. The interplay between disease incidence, vaccine uptake and the behavior of individuals are taking place on the local time scale. Here, we analyze the individual's behavior in disease-vaccination interaction model based on the evolutionary game approach that captures the idea of vaccination decisions on disease prevalence that also include social learning. The effect of herd immunity is partly important when the individuals are deciding whether to take the vaccine or not. The possibility that an individual taking a vaccination or becoming infected depends upon how many other people are vaccinated. To apprehend this interplay, four strategy updating rules: individual based risk assessment (IB-RA), society based risk assessment (SB-RA), direct commitment (DC) and modified replicator dynamics (MRD) are contemplated for game theoretical approach by how one individual can learn from society or neighbors. The theory and findings of this paper provide a new perspective for vaccination taking policy in daily basis that provision of prompt learning with the collective information reliefs to reduce infection, which gives a new ‘vaccination game’ from other previous models.

DOI： 10.1016/j.chaos.2019.04.010

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.03.007

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2019.02.013

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.03.007

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jtbi.2019.02.013

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2018.10.015

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.amc.2018.10.015

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.01.013

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2019.01.013

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2018.12.017

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2018.12.023

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2018.12.017

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.chaos.2018.12.023

記述言語：英語   掲載種別：研究論文（学術雑誌）  

Abstract: Many recent studies on evolutionary spatial Prisoner’s Dilemma (SPD) games have provided insights into the mechanisms and frameworks that bolster the effect of network reciprocity. In this article, we provide a concise and comprehensive review of previous studies on evolutionary games and network reciprocity. Subsequently, we evaluate and compare the results from such studies in a unified manner to answer an open question in evolutionary SPD games: What are the factors underlying network reciprocity and what effect do these factors have on the emergence and promotion of cooperation? As a first step, we introduce a novel indicator to quantitatively evaluate the effectiveness (contribution) of a final fraction of cooperators via the introduction of the associated mechanisms into a simple evolutionary SPD game. In this game, the players are located on a two-dimensional square lattice with the Moore neighborhood and update their strategies by imitating the strategy of the best performing player among their neighbors, and the dynamics are separated into two periods: the enduring (END) period and the expanding (EXP) period. The initial fraction of cooperators is decreased transiently via the invasion and exploitation of defectors in the END period, and over the period, the fraction of cooperators is increased to expand cooperative clusters in the EXP period. Moreover, we also evaluate the statistical validity of our indicator by performing regression analyses. Our results indicate that two factors bolster the effect of network reciprocity: (1) the shape of the cooperative cluster (C-cluster) formed in the END period and (2) the ability to expand a single “perfect C-cluster,” which is the smallest patch, to increase the opportunity for interactions between cooperators and defectors and reduce exploitation by defectors in the EXP period.

DOI： 10.1140/epjb/e2018-90214-6

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1140/epjb/e2018-90214-6

記述言語：その他   掲載種別：研究論文（学術雑誌）  

DOI： 10.1016/j.jweia.2018.09.024

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1088/1742-5468/aae84f

記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1088/1742-5468/aae84f